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Testing exponentiality based on the Kullback-Leibler information with the type II censored data

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1 Author(s)
Sangun Park ; Dept. of Appl. Stat., Yonsei Univ., Seoul, South Korea

We express the joint entropy of order statistics in terms of an incomplete integral of the hazard function, and provide a simple estimate of the joint entropy of the type II censored data. Then we establish a goodness of fit test statistic based on the Kullback-Leibler information with the type II censored data, and compare its performance with some leading test statistics. A Monte Carlo simulation study shows that the proposed test statistic shows better powers than some leading test statistics against the alternatives with monotone increasing hazard functions.

Published in:

IEEE Transactions on Reliability  (Volume:54 ,  Issue: 1 )